Benjamin Elsworth

13.1k total citations · 4 hit papers
28 papers, 5.7k citations indexed

About

Benjamin Elsworth is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Benjamin Elsworth has authored 28 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Benjamin Elsworth's work include Genetic Associations and Epidemiology (11 papers), Bioinformatics and Genomic Networks (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Benjamin Elsworth is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Bioinformatics and Genomic Networks (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Benjamin Elsworth collaborates with scholars based in United Kingdom, Australia and United States. Benjamin Elsworth's co-authors include George Davey Smith, Tom R. Gaunt, Gibran Hemani, Jie Zheng, Philip Haycock, Charles Laurin, David M. Evans, Valeriia Haberland, Richard M. Martin and Ryan Langdon and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Benjamin Elsworth

27 papers receiving 5.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The MR-Base platform supports systematic causal inference across the human phenome

2018 4.4k citations Gibran Hemani, Jie Zheng et al. eLife profile →
LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis

2016 406 citations Jie Zheng, A. Mesut Erzurumluoglu et al. Bioinformatics profile →
Use of genetic variation to separate the effects of early and later life adiposity on disease risk: mendelian randomisation study

2020 178 citations Tom G. Richardson, Eleanor Sanderson et al. BMJ profile →
Characterising metabolomic signatures of lipid-modifying therapies through drug target mendelian randomisation

2022 159 citations Tom G. Richardson, Genevieve M Leyden et al. PLoS Biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Benjamin Elsworth United Kingdom	15	2.8k	1.6k	823	698	530	28	5.7k
Ryan Langdon United Kingdom	13	2.4k 0.8×	1.5k 0.9×	761 0.9×	650 0.9×	511 1.0×	21	5.2k
Denis Baird United Kingdom	8	2.6k 0.9×	1.4k 0.8×	799 1.0×	667 1.0×	590 1.1×	17	5.2k
Marie Verbanck France	12	2.5k 0.9×	1.5k 0.9×	908 1.1×	876 1.3×	608 1.1×	20	5.6k
Vanessa Y. Tan United Kingdom	8	2.3k 0.8×	1.3k 0.8×	713 0.9×	617 0.9×	478 0.9×	13	4.7k
Charles Laurin United States	9	2.6k 0.9×	1.3k 0.8×	743 0.9×	629 0.9×	506 1.0×	15	5.0k
Valeriia Haberland United Kingdom	5	2.2k 0.8×	1.2k 0.8×	697 0.8×	591 0.8×	481 0.9×	8	4.5k
Fabiola Del Greco M Italy	25	3.2k 1.1×	1.6k 1.0×	1.0k 1.2×	873 1.3×	827 1.6×	38	6.7k
Kaitlin H. Wade United Kingdom	23	3.2k 1.1×	1.7k 1.1×	970 1.2×	954 1.4×	580 1.1×	55	6.8k
Damjan Vukcevic Australia	13	3.3k 1.2×	2.1k 1.3×	656 0.8×	609 0.9×	332 0.6×	21	6.7k
Stephen Leslie United States	21	2.7k 1.0×	1.7k 1.0×	602 0.7×	560 0.8×	399 0.8×	66	6.4k

Countries citing papers authored by Benjamin Elsworth

Since Specialization

Citations

This map shows the geographic impact of Benjamin Elsworth's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Benjamin Elsworth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Elsworth more than expected).

Fields of papers citing papers by Benjamin Elsworth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin Elsworth. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Benjamin Elsworth. The network helps show where Benjamin Elsworth may publish in the future.

Co-authorship network of co-authors of Benjamin Elsworth

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Elsworth. A scholar is included among the top collaborators of Benjamin Elsworth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benjamin Elsworth. Benjamin Elsworth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Robinson, Tim, et al.. (2025). Integrating Mendelian randomization and literature-mined evidence for breast cancer risk factors. Journal of Biomedical Informatics. 165. 104810–104810.

Liu, Yi, Benjamin Elsworth, & Tom R. Gaunt. (2023). Using language models and ontology topology to perform semantic mapping of traits between biomedical datasets. Bioinformatics. 39(4). 2 indexed citations

Bull, Caroline J., Jie Zheng, Benjamin Elsworth, et al.. (2023). A phenome-wide approach to identify causal risk factors for deep vein thrombosis. BMC Medical Genomics. 16(1). 284–284. 4 indexed citations

Richardson, Tom G., Genevieve M Leyden, Qin Wang, et al.. (2022). Characterising metabolomic signatures of lipid-modifying therapies through drug target mendelian randomisation. PLoS Biology. 20(2). e3001547–e3001547. 159 indexed citations breakdown →

Lyon, Matthew, Shea J. Andrews, Benjamin Elsworth, et al.. (2021). The variant call format provides efficient and robust storage of GWAS summary statistics. Genome biology. 22(1). 32–32. 118 indexed citations

Ellingjord‐Dale, Merete, Nikos Papadimitriou, Michail Katsoulis, et al.. (2021). Coffee consumption and risk of breast cancer: A Mendelian randomization study. PLoS ONE. 16(1). e0236904–e0236904. 14 indexed citations

Liu, Yi, Benjamin Elsworth, Pau Erola, et al.. (2020). EpiGraphDB: a database and data mining platform for health data science. Bioinformatics. 37(9). 1304–1311. 28 indexed citations

Richardson, Tom G., Eleanor Sanderson, Benjamin Elsworth, Kate Tilling, & George Davey Smith. (2020). Use of genetic variation to separate the effects of early and later life adiposity on disease risk: mendelian randomisation study. BMJ. 369. m1203–m1203. 178 indexed citations breakdown →

Zheng, Jie, Tom G. Richardson, Louise A C Millard, et al.. (2018). PhenoSpD: an integrated toolkit for phenotypic correlation estimation and multiple testing correction using GWAS summary statistics. GigaScience. 7(8). 40 indexed citations

10.

Lin, Hui‐Ming, Iva Nikolić, Jessica Yang, et al.. (2018). MicroRNAs as potential therapeutics to enhance chemosensitivity in advanced prostate cancer. Scientific Reports. 8(1). 7820–7820. 39 indexed citations

11.

Hemani, Gibran, Jie Zheng, Benjamin Elsworth, et al.. (2018). The MR-Base platform supports systematic causal inference across the human phenome. eLife. 7. 4374 indexed citations breakdown →

12.

Nowell, Reuben W., Benjamin Elsworth, Vicencio Oostra, et al.. (2017). A high-coverage draft genome of the mycalesine butterfly Bicyclus anynana. GigaScience. 6(7). 1–7. 38 indexed citations

13.

Nikolić, Iva, Benjamin Elsworth, Sunny Z. Wu, et al.. (2017). Discovering cancer vulnerabilities using high-throughput micro-RNA screening. Nucleic Acids Research. 45(22). 12657–12670. 11 indexed citations

14.

Zheng, Jie, Philip Haycock, Gibran Hemani, et al.. (2016). LD hub and MR-base: online platforms for preforming LD score regression and Mendelian randomization analysis using GWAS summary data. Behavior Genetics. 46(6). 815–815. 5 indexed citations

15.

Zheng, Jie, A. Mesut Erzurumluoglu, Benjamin Elsworth, et al.. (2016). LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis. Bioinformatics. 33(2). 272–279. 406 indexed citations breakdown →

16.

Nguyen, Akira, Daniel Roden, Benjamin Elsworth, et al.. (2015). MicroRNA profiling of the pubertal mouse mammary gland identifies miR-184 as a candidate breast tumour suppressor gene. Breast Cancer Research. 17(1). 83–83. 40 indexed citations

17.

Elsworth, Benjamin, Martin O. Jones, & Mark Blaxter. (2013). Badger—an accessible genome exploration environment. Bioinformatics. 29(21). 2788–2789. 5 indexed citations

18.

Tyson, Trevor, Simon Wong, John T. Jones, et al.. (2012). A molecular analysis of desiccation tolerance mechanisms in the anhydrobiotic nematode Panagrolaimus superbus using expressed sequenced tags. BMC Research Notes. 5(1). 68–68. 35 indexed citations

19.

Blaxter, Mark, Sujai Kumar, Gaganjot Kaur, Georgios Koutsovoulos, & Benjamin Elsworth. (2011). Genomics and transcriptomics across the diversity of the Nematoda. Parasite Immunology. 34(2-3). 108–120. 12 indexed citations

20.

Elsworth, Benjamin, James D. Wasmuth, & Mark Blaxter. (2011). NEMBASE4: The nematode transcriptome resource. International Journal for Parasitology. 41(8). 881–894. 53 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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